**************************************
*Table 5: Robots and graduation rates*
**************************************

*Education
use "$final_data_outcomes/czone_Students.dta", clear
merge 1:1 czone year using "$final_data_outcomes/czone_PopulationEducation.dta", nogenerate
merge 1:1 czone year using "$final_data_outcomes/IPEDS_GraduationCZ.dta", assert(1 3) nogenerate

*Automation
merge 1:1 czone year using "$final_data_automation/czones_ExposureAutomation.dta", assert(1 3) nogenerate

*Imports
merge 1:1 czone year using "$final_data_imports/czone_ExposureChina", assert(1 3) nogenerate

*Covariates
merge m:1 czone using "$final_data_covariates/czone1990_Covariates.dta", assert(3) nogenerate //beginning of period
merge m:1 czone using "$final_data_covariates/IPEDS_institutionControlsCZ.dta", assert(1 3) nogenerate

*Keep periods of interest
keep if year<=2000

xtset czone year

foreach var in public communityCollege uniTop20 uniTop30Dummy uniTop30 largest150 forProfit nonProfit numberOfUni private {
replace `var' = 0 if mi(`var')
}

egen medianAnyAid = median(anyAid), by(statefip)
	replace anyAid = medianAnyAid if mi(anyAid)

eststo clear
eststo: ivreghdfe dGr_total_4y (expof_us_adj d_exp_us_stacked = expof_euro7_qo d_exp_iv_stacked) d_sc_70_90 $occupations_1990 $demographics_1990 $industry_shares_1990 $institutions_1990 [w=ipums_pop_1990] if year<=2000 , absorb(division##year statefip) cluster(statefip)
eststo: ivreghdfe dGr_total_2y (expof_us_adj d_exp_us_stacked = expof_euro7_qo d_exp_iv_stacked) d_sc_70_90 $occupations_1990 $demographics_1990 $industry_shares_1990 $institutions_1990 [w=ipums_pop_1990] if year<=2000 , absorb(division##year statefip) cluster(statefip)
eststo: ivreghdfe d_pop_b (expof_us_adj d_exp_us_stacked = expof_euro7_qo d_exp_iv_stacked) d_sc_70_90 $occupations_1990 $demographics_1990 $industry_shares_1990 $institutions_1990 [w=ipums_pop_1990] if year<=2000 , absorb(division##year statefip) cluster(statefip)
eststo: ivreghdfe d_pop_a (expof_us_adj d_exp_us_stacked = expof_euro7_qo d_exp_iv_stacked) d_sc_70_90 $occupations_1990 $demographics_1990 $industry_shares_1990 $institutions_1990 [w=ipums_pop_1990] if year<=2000 , absorb(division##year statefip) cluster(statefip)

estout using "$tables_main/Table 6.tex", style(tex) ///
varlabels(expof_us_adj "US robot exposure") ///
cells(b(fmt(%9.3f) star) se(par)) nolabel replace mlabels(none) collabels(none) starlevels(\$^{*}\$ .1 \$^{**}\$ .05 \$^{***}\$ .01) /// 
keep(expof_us_adj) ///
order(expof_us_adj)
